StarGrad

StarGrad is a powerful JavaScript library that provides automatic gradient calculation and mathematical tools, inspired by PyTorch's functionality. It's designed to make deep learning and mathematical computations more accessible to JavaScript developers.

Features

• Automatic gradient calculation
• Tensor operations similar to PyTorch
• Mathematical operations and functions
• GPU acceleration support (coming soon)
• TypeScript support

Installation

You can install StarGrad using npm:

npm install stargrad

Quick Start

Import StarGrad in your project:

import { Tensor } from 'stargrad';

// Create a tensor
const x = new Tensor([1, 2, 3]);

// Perform operations
const y = x.mul(2);  // Multiply by 2
const z = y.add(1);  // Add 1

// Calculate gradients
z.backward();

Documentation

Core Concepts

• Tensors: The fundamental data structure in StarGrad
• Autograd: Automatic gradient calculation system
• Operations: Mathematical operations on tensors

Basic Operations

// Create tensors
const a = new Tensor([1, 2, 3]);
const b = new Tensor([4, 5, 6]);

// Basic arithmetic
const sum = a.add(b);
const product = a.mul(b);
const quotient = a.div(b);

// Matrix operations
const matrix = new Tensor([[1, 2], [3, 4]]);
const transpose = matrix.transpose();

Contributing

We welcome contributions! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you encounter any issues or have questions, please open an issue on our GitHub repository.